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Own the technical path for moving internally built AI agents from prototype to enterprise production. Define production-readiness standards, automated evaluation and regression testing, architecture patterns, deployment templates, and secure identity and data access practices across Databricks and AWS. Build reference implementations, diagnose agent failures, optimize latency and token costs, lead design and readiness reviews, manage operational handoffs, and guide business teams through platform and data decisions.

Deliver Workday Success Plans consulting for enterprise customers, including reporting and analytics guidance, configuration troubleshooting, feature demonstrations, presentations, tenant reviews, adoption support, and feature deployments. The role requires researching customer needs, translating complex Workday concepts into clear recommendations, maintaining Workday expertise and certifications, and helping create programs that increase product adoption and business value.

Leads and develops a team of Workday Extend consultants and developers delivering custom applications for customers. Oversees technical quality, security, governance, app migration, integrations, agile delivery, staffing, customer satisfaction, utilization, and practice growth. Partners across global consulting teams to shape solutions, manage implementations, strengthen delivery capabilities, and drive AI upskilling and adoption across the Professional Services organization.

Lead multiple enterprise Workday implementation engagements from post-sale initiation through completion. Own scope, schedules, budgets, staffing, risks, change control, governance, and customer satisfaction. Serve as the primary escalation point for executive stakeholders, coordinate functional and technical delivery teams, manage financials and resources, support presales and follow-on work, mentor project members, and improve engagement management practices.

Serves as a Workday subject matter expert for customer micro-consulting engagements involving Financial Reporting, Prism Analytics, and Accounting Center. Designs and troubleshoots complex financial reports, data pipelines, datasets, calculated fields, integrations, and accounting configurations. Advises customers on best practices, conducts configuration reviews, delivers presentations and demonstrations, supports feature deployments, identifies adoption opportunities, and manages multiple customer engagements while maintaining Workday expertise and certifications.

Provides customer-facing Workday Extend consulting and advisory services, including configuration guidance, feature demonstrations, troubleshooting, optimization reviews, configuration design, and feature deployments. The role develops webinars, supports feature adoption, manages multiple engagements, and builds trusted customer relationships. Candidates need extensive Workday Extend and Integrations experience, web-service and programming knowledge, strong communication skills, and the ability to explain complex technical concepts clearly.

Owns relationships and execution across a portfolio of partners in India. Builds joint go-to-market plans, develops and progresses partner-sourced and partner-influenced pipeline, manages deals through close, enables partner sales teams, recruits new partners, coordinates internal stakeholders, and conducts business reviews to drive revenue and growth.

Conducts multichannel prospecting through phone, email, social selling, marketing-qualified leads, and events. Partners with Account Executives to build sales opportunities, qualifies potential buyers, uncovers customer needs, communicates Workday’s value propositions, nurtures prospect relationships, and maintains an organized pipeline across multiple accounts.

Build, scale, observe, secure, and maintain Workday’s Kubernetes-based cloud platform. Responsibilities include infrastructure automation, CI/CD pipelines, observability, configuration management, application deployments, troubleshooting, security compliance, documentation, and collaboration with distributed engineering teams. The role supports U.S. federal government contracts and may require work at client sites in the DC, Maryland, and Virginia area, along with the ability to obtain and maintain a TS/SCI with CI polygraph clearance.

Own the full enterprise sales cycle for Sana’s agentic AI products, from prospecting and opportunity development through solution shaping and deal closure. Build self-sourced pipeline, exceed quota, close $10K–$100K ACV deals, engage C-level executives, and collaborate with product, engineering, and strategy teams to address customer needs across industries and geographies.